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I went through all the questions here and discussion available on web, to figure out how the 'scale_pos_weight' (and 'class_Weight' for multi class problems & individual instance weights given by the 'weight' param) impact the calculations of the loss gradient / other calculations, but without much luck. Can someone please explain how this params impact the loss calculations, or any other calculations in xgboost/lightgbm.

Also, I read (somewhere) that weighting using the scale_pos_weight, heavily impacts the intercept in the model (read similar is case for logistic regression, where weighting the minor class more impacts the intercept heavily). Can someone explain how.

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